nerdslab / SwapVAELinks
PyTorch implementation of Swap-VAE: A self-supervised approach for generating neural activity
☆13Updated 3 years ago
Alternatives and similar repositories for SwapVAE
Users that are interested in SwapVAE are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of "Seeing the forest and the tree: Building representations of both individual and collective dynamics with trans…☆14Updated 2 years ago
- Official Implementation of POYO-1 https://poyo-brain.github.io/☆68Updated 4 months ago
- Poisson Identifiable VAE (pi-VAE)☆52Updated 4 years ago
- Code for Neural Population Control☆19Updated 6 years ago
- Towards large neural data models.☆29Updated last month
- ☆20Updated 3 years ago
- ☆79Updated 3 years ago
- Unsupervised deep convolutional neural network model for the ventral visual stream.☆27Updated 2 years ago
- [CogSci 23'] Generate your neural signals from mine: individual-to-individual EEG converters☆28Updated 2 years ago
- M/EEG brain age benchmark paper☆29Updated 2 years ago
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆22Updated last year
- [ICLR 2023] Code for BrainBERT☆60Updated 6 months ago
- Use DNN to study the brain and use brain measurement to evaluate DNN☆45Updated 9 months ago
- Code related to analyzing the Natural Scenes Dataset☆42Updated 8 months ago
- ☆26Updated 5 months ago
- ☆78Updated 3 weeks ago
- ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks☆33Updated last year
- Codebase for publication "Neural decoding from stereotactic EEG: accounting for electrode variability across subjects" @ NeurIPS (2024)☆15Updated last month
- ECoG/EEG neural network decoder that can generalize to unseen participants and recording modalities. Replicates our published results: ht…☆30Updated 4 years ago
- THINGS-data: A multimodal collection of large-scale datasets for investigating object representations in brain and behavior☆51Updated last year
- ☆12Updated 3 years ago
- Some methods for comparing network representations in deep learning and neuroscience.☆139Updated last year
- ☆18Updated 4 years ago
- Recurrent convolutional neural networks for object recognition☆18Updated 4 years ago
- Self-supervised learning techniques for neuroimaging data inspired by prominent learning frameworks in natural language processing + One …☆103Updated 2 years ago
- ☆11Updated last year
- python package to access the data of the NSD (natural scenes dataset) fMRI project☆47Updated 8 months ago
- ☆40Updated last year
- Starter code for the BOLDMoments fMRI video dataset☆16Updated last year
- Python tools for participating in Neural Latents Benchmark '21☆61Updated last year